Cite as: Geoffrey Bilder (2025, June 24). AI Like It's 1930 . Retrieved from https://doi.org/10.59347/5ehqx-91420 function copyCitation() { const citationText = document.getElementById('citation-text').innerText.replace(/\s+/g, ' ').trim(); navigator.clipboard.writeText(citationText).then(() => { alert('Citation copied to

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Cite as: Geoffrey Bilder (2024, December 18). Crossref updates its POSI self-assessment after 1,005 days . Retrieved from https://doi.org/10.59347/e45hs-ret02 function copyCitation() { const citationText = document.getElementById('citation-text').innerText.replace(/\s+/g, ' ').trim(); navigator.clipboard.writeText(citationText).then(() => {

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I was invited to speak at an internal Wiley-Blackwell seminar. Before the seminar, they interviewed me for their Publishing News . I can’t find a copy of the interview online anymore, so I have reproduced it below. I made several predictions in this interview, and it’s interesting to see which ones played out.

I was recently asked by somebody to speculate about generalizable application features that might help researchers in their work. I responded to them directly, but thought it might be worth repeating part of my response here. Since the early 1990s I’ve wished that the OS (any OS) would support a “Paste &

Jon Udell and Ross Mayfield have are talking about the use of social software and trust-circles as tools to find relevant and authoritative content on the web. Sounds familiar. I’ve long thought trust circles (amongst other trust metrics) are key to addressing the “Internet Trust Anti-Pattern“. It may sound incredibly un-hip and reactionary, but to hell with the wisdom of crowds.